statsmodels.stats.robust_compare.trimboth¶

statsmodels.stats.robust_compare.trimboth(a, proportiontocut, axis=0)[source]¶

Slices off a proportion of items from both ends of an array.

Slices off the passed proportion of items from both ends of the passed array (i.e., with proportiontocut = 0.1, slices leftmost 10% and rightmost 10% of scores). You must pre-sort the array if you want ‘proper’ trimming. Slices off less if proportion results in a non-integer slice index (i.e., conservatively slices off proportiontocut).

Parameters:¶

a : array_like¶

Data to trim.

proportiontocut : float or int¶

Proportion of data to trim at each end.

axis : int or None¶

Axis along which the observations are trimmed. The default is to trim along axis=0. If axis is None then the array will be flattened before trimming.

Returns:¶

out – Trimmed version of array a.

Return type:¶

array-like

Examples

>>> from scipy import stats
>>> a = np.arange(20)
>>> b = stats.trimboth(a, 0.1)
>>> b.shape
(16,)